Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble.
Vasileios MygdalisAlexandros IosifidisAnastasios TefasIoannis PitasPublished in: TrustCom/BigDataSE/ISPA (2) (2015)
Keyphrases
- least squares
- one class support vector machines
- final classification
- feature selection
- anomaly detection
- decision trees
- classification accuracy
- training set
- support vector machine
- classification algorithm
- pattern recognition
- supervised learning
- svm classifier
- benchmark datasets
- support vector machine svm
- neural network
- image classification
- classification method
- feature vectors
- feature space
- machine learning
- text classification
- training data
- classification systems
- robust estimation
- random forests
- decision tree classifiers
- majority voting
- policy evaluation
- ensemble classification
- concept drifting data streams
- classification models
- ensemble methods
- machine learning methods
- feature set
- k means
- support vector
- feature extraction
- image segmentation
- image processing
- real world